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Matemáticas 5 Gálvez

Matemáticas 5 Gálvez PDF Author: María Cristina Gálvez Maya
Publisher:
ISBN: 9786075503547
Category : Education
Languages : es
Pages : 0

Book Description
El aprendizaje de las matemáticas mediante la resolución de problemas sigue vigente actualmente, por ello la nueva serie de Matemáticas continúa ofreciendo una gran variedad de ejercicios y problemas matemáticos que desarrollan el pensamiento matemático. Matemáticas 5 favorece la construcción de conocimientos, del desarrollo de habilidades y competencias matemáticas, para desenvolverse en diferentes ámbitos de la vida. Los contenidos se organizan en lecciones de aprendizaje que permiten al docente contar con una propuesta pedagógica flexible para crear estrategias propias y abordar la clase de manera más efectiva. Incluye: índice de contenidos, actividades para aprender, avanzar y reforzar, contenido de acuerdo con los planes de estudio vigente, explicaciones breves y claras para comprender procedimientos, información puntual y evaluación. Con esta nueva generación de libros, Larousse contribuye una vez más a la formación de alumnos con una actitud favorable hacia las matemáticas, con el fin de que continúen su formación académica y logran sus proyectos de vida.

Matemáticas 5 Gálvez

Matemáticas 5 Gálvez PDF Author: María Cristina Gálvez Maya
Publisher:
ISBN: 9786075503547
Category : Education
Languages : es
Pages : 0

Book Description
El aprendizaje de las matemáticas mediante la resolución de problemas sigue vigente actualmente, por ello la nueva serie de Matemáticas continúa ofreciendo una gran variedad de ejercicios y problemas matemáticos que desarrollan el pensamiento matemático. Matemáticas 5 favorece la construcción de conocimientos, del desarrollo de habilidades y competencias matemáticas, para desenvolverse en diferentes ámbitos de la vida. Los contenidos se organizan en lecciones de aprendizaje que permiten al docente contar con una propuesta pedagógica flexible para crear estrategias propias y abordar la clase de manera más efectiva. Incluye: índice de contenidos, actividades para aprender, avanzar y reforzar, contenido de acuerdo con los planes de estudio vigente, explicaciones breves y claras para comprender procedimientos, información puntual y evaluación. Con esta nueva generación de libros, Larousse contribuye una vez más a la formación de alumnos con una actitud favorable hacia las matemáticas, con el fin de que continúen su formación académica y logran sus proyectos de vida.

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Publisher:
ISBN:
Category : Catalogs, Publishers'
Languages : es
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Book Description


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Bernardo de Gálvez PDF Author: José Manuel Guerrero Acosta
Publisher:
ISBN:
Category : Generals
Languages : en
Pages : 432

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Publisher: Glendale, Calif. : A. H. Clark Company
ISBN:
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Language, Truth and Democracy PDF Author: Margit Gaffal
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110697505
Category : Philosophy
Languages : en
Pages : 375

Book Description
The aim of this volume is to investigate three fundamental issues of the new millennium: language, truth and democracy. The authors approach the themes from different philosophical perspectives. One group of authors examines the use of language and the meaning of concepts from an analytic point of view, the ontology of scientific terms and explores the nature of knowledge in general. Another group examines truth and types of relation. A third group of authors focuses on the current factors influencing our concept of democracy and its legal foundations and makes reference to moral aspects and the question of political responsibility. The chapters provide the reader with an overview of current philosophical problems and the answers to these questions will be decisive for future development.

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Publisher: Springer Nature
ISBN: 3031038843
Category : Computers
Languages : en
Pages : 571

Book Description
This volume constitutes the refereed proceedings of the Third International Conference on Applied Technologies, ICAT 2021, held in Quito, Ecuador, in October 2021. The 40 papers were carefully reviewed and selected from 201 submissions. The papers are organized according to the following topics: communication; computing; e-government and e-participation; e-learning; electronics; general track; intelligent systems; machine vision; security; technology trends.

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Deep Learning PDF Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801

Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

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Pages : 220

Book Description